Abstract P351: White Rice Consumption and Risk of Type 2 Diabetes: A Meta-analysis and Systematic Review

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Emily A Hu ◽  
Qi Sun ◽  
An Pan ◽  
Vasanti Malik
Keyword(s):  
Type 2 Diabetes ◽  
Dose Response ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Response Relationship ◽  
Dose Response Relationship ◽  
White Rice ◽  
Prospective Cohort Studies ◽  
Rice Consumption

Objectives: To summarize evidence regarding the association between white rice consumption and risk of type 2 diabetes and to quantify the potential dose-response relationship. Design: Meta-analysis of prospective cohort studies. Data Sources: We searched MEDLINE and EMBASE databases for articles published through July 2011 using keywords that included both rice intake and diabetes. We further searched references of included original studies. Study Selection: Prospective cohort studies that reported risk estimates of type 2 diabetes by white rice intake levels were selected for inclusion. Data Synthesis: Relative risks were pooled using a fixed-effects model. We also modeled the dose-response relationship utilizing data from all white rice intake categories in each study. Results: We identified 4 articles that included 7 distinct prospective cohort analyses for this study. A total of 13,284 incident cases of type 2 diabetes were ascertained among 352,384 participants with follow-up periods ranging from 4 to 22 years. The pooled relative risk (RR) for type 2 diabetes was 1.21 (95% confidence interval [CI], 1.08-1.34) comparing the highest with the lowest category of white rice intake. In addition, the dose-response meta-analysis suggested a linear association between white rice consumption and risk of type 2 diabetes: the RR (95% CI) was 1.10 (1.07, 1.14; P <0.001) for each serving/d (∼158 grams for a serving of cooked rice) increased intake of white rice. Conclusion: Frequent consumption of white rice is associated with a moderately increased risk of type 2 diabetes. These findings support the recommendation that consumption of white rice should be reduced in place of healthier options such as brown rice and other whole grains to lower risk of diabetes.

Meat and fish intake and type 2 diabetes: Dose–response meta-analysis of prospective cohort studies

2020 ◽  
Vol 46 (5) ◽  
pp. 345-352 ◽  
Author(s):  
Xiu Yang ◽  
Yuqian Li ◽  
Chongjian Wang ◽  
Zhenxing Mao ◽  
Wen Zhou ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Studies ◽  
Dose Response ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Fish Intake ◽  
Prospective Cohort Studies

scholarly journals Dietary Intake of Linoleic Acid, Its Concentrations, and the Risk of Type 2 Diabetes: A Systematic Review and Dose-Response Meta-analysis of Prospective Cohort Studies

Diabetes Care ◽  
2021 ◽  
Vol 44 (9) ◽  
pp. 2173-2181 ◽  
Author(s):  
Seyed Mohammad Mousavi ◽  
Yahya Jalilpiran ◽  
Elmira Karimi ◽  
Dagfinn Aune ◽  
Bagher Larijani ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Linoleic Acid ◽  
Dietary Intake ◽  
Cohort Studies ◽  
Dose Response ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Prospective Cohort Studies

Breakfast Skipping Is Associated with Increased Risk of Type 2 Diabetes among Adults: A Systematic Review and Meta-Analysis of Prospective Cohort Studies

2018 ◽  
Vol 149 (1) ◽  
pp. 106-113 ◽  
Author(s):  
Aurélie Ballon ◽  
Manuela Neuenschwander ◽  
Sabrina Schlesinger
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Cohort Studies ◽  
Dose Response ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Prospective Cohort Studies ◽  
Breakfast Skipping ◽  
Increased Risk

ABSTRACT Background Epidemiologic studies have indicated that breakfast skipping is associated with risk of type 2 diabetes. However, the shape of the dose-response relation and the influence of adiposity on this association have not been reported. Objective We investigated the association between breakfast skipping and risk of type 2 diabetes by considering the influence of the body mass index (BMI). Methods In this systematic review and meta-analysis, PubMed and Web of Science were searched up to August 2017. Prospective cohort studies on breakfast skipping and risk of type 2 diabetes in adults were included. Summary RRs and 95% CIs, without and with adjustment for BMI, were estimated with the use of a random-effects model in pairwise and dose-response meta-analyses. Results In total 6 studies, based on 96,175 participants and 4935 cases, were included. The summary RR for type 2 diabetes comparing ever with never skipping breakfast was 1.33 (95% CI: 1.22, 1.46, n = 6 studies) without adjustment for BMI, and 1.22 (95% CI: 1.12, 1.34, n = 4 studies) after adjustment for BMI. Nonlinear dose-response meta-analysis indicated that risk of type 2 diabetes increased with every additional day of breakfast skipping, but the curve reached a plateau at 4–5 d/wk, showing an increased risk of 55% (summary RR: 1.55; 95% CI: 1.41, 1.71). No further increase in risk of type 2 diabetes was observed after 5 d of breakfast skipping/wk (P for nonlinearity = 0.08). Conclusions This meta-analysis provides evidence that breakfast skipping is associated with an increased risk of type 2 diabetes, and the association is partly mediated by BMI.

scholarly journals Ethnic Differences in the Association Between Body Mass Index and Type 2 Diabetes Risk: A Meta-Analysis of Prospective Cohort Studies

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1253-1253
Author(s):  
Maria Tinajero ◽  
Sarah Jarvis ◽  
Jiayue Yu ◽  
Tauseef Khan ◽  
Vasanti Malik ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Cohort Studies ◽  
Ethnic Groups ◽  
Dose Response ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Linear Dose ◽  
Prospective Cohort Studies

Abstract Objectives The association between body mass index (BMI) and total body adiposity differs across ethnic groups. For instance, South Asians (SA) and East Asians (EA) have lower body fat for a given BMI level than Europeans, while the opposite is true for African-Caribbeans (AC). This suggests that the relationship between BMI and type 2 diabetes (T2D) risk may also vary depending on ethnicity. We conducted a meta-analysis to investigate whether the association between BMI and the risk of T2D differs across ethnic groups. Methods MEDLINE, EMBASE and Web of Science were searched up to July 2020. We included prospective cohort studies of &gt;2 years, which investigated the association between BMI and T2D incidence among adults of a specified ethnicity. Linear and non-linear dose-response meta-analyses were performed using random effects models, with subgroup analyses by ethnicity. The heterogeneity among studies was estimated using the Cochran Q test and I2 statistic. Study quality was assessed with the Newcastle-Ottawa Scale. Results 54 studies were included. Cohorts were stratified into the following ethnic subgroups: AC (N = 67,453), EA (N = 1,012,135), European (N = 206,424), Indigenous (N = 10,533), Latin American (LA) (N = 4,669), SA (N = 9,395), and Southeast Asian (SEA) (N = 51,129). Linear dose-response associations between 1 kg/m2 increase in BMI and T2D were observed for the SEA (RR = 1.26; 95% CI, 1.10, 1.30) and SA (RR = 1.11; 95% CI: 1.04, 1.19) subgroups with no evidence of departure from linearity. Associations departed from linearity for all other subgroups. At a BMI level of 30 kg/m2, the non-linear dose-response curves for each of the other subgroups displayed the following risk ratios; AC: RR = 3.13 (95% CI, 1.95, 5.02), EA: RR = 2.39 (95% CI, 1.96, 2.92), European: RR = 7.41 (95% CI, 3.88, 14.18), Indigenous: RR = 8.15 (95% CI, 6.07; 10.95), and LA: RR = 12.82 (95% CI, 5.50, 29.92). For all subgroups, there was a high degree of interstudy heterogeneity (I2 &gt; 75%). Conclusions Our findings indicated that the association between BMI and the risk of T2D differs across ethnic groups, suggesting that ethnic-specific BMI cut-offs could be helpful in identifying cardiometabolic risk profiles across different populations. Funding Sources Canadian Institutes for Health Research.

scholarly journals Association between Obstructive Sleep Apnea and Type 2 Diabetes Mellitus: A Dose-Response Meta-Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Zhixiang Yu ◽  
Jin-Xiang Cheng ◽  
Dong Zhang ◽  
Fu Yi ◽  
Qiuhe Ji
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Dose Response ◽  
Odds Ratio ◽  
Observational Studies ◽  
Meta Analysis ◽  
Response Relationship ◽  
Dose Response Relationship ◽  
Obstructive Sleep

Aim/Introduction. Obstructive sleep apnea (OSA) is a sleep-related breathing disorder that is characterized by repeated episodes of upper airway occlusion during sleep. The patients with OSA suffered from comprehensive oxidative stress in all systems. OSA might induce type 2 diabetes mellitus (T2DM), a kind of metabolism disorder. In this passage, we are exploring the dose-response relationship between OSA and T2DM. Materials and Methods. We screened four databases (PubMed, Embase, Cochran Library, and CNKI) for the observational studies about the OSA and T2DM. Studies were collected from database establishment to October 2020. We performed a traditional subgroup meta-analysis. What is more, linear and spline dose-response models were applied to assess the association between apnea-hypopnea index (AHI), an indicator to evaluate the severity of OSA, and the risk of T2DM. Review Manager, version 5.3, software and Stata 16.0 were used for the analysis. Result. Seven observational studies were included in the research. We excluded a study in the conventional meta-analysis. In the subgroup analysis, mild-dose AHI increased the risk of T2DM (odds ratio = 1.23, 95% confidence interval = 1.06–1.41, P  < 0.05). Moderate-dose AHI increased the risk of T2DM with a higher odds ratio (OR = 1.35, 95% CI = 1.13–1.61, P  < 0.05). Moderate-to-severe-dose AHI increased the risk of T2DM with a higher odds ratio (OR = 2.14, 95% CI = 1.72–2.67, P  < 0.05). Severe-dose AHI increased the risk of T2DM with a higher odds ratio (OR = 2.19 95% CI = 1.30–3.68, P  < 0.05). Furthermore, the spline and linear dose-response meta-analysis results revealed that the risk of T2DM increased with increasing AHI values. Conclusion. Through the dose-response meta-analysis, we found a potential dose-response relationship existed between the severity of OSA and the risk of T2DM. This relationship in our passage should be considered in the prevention of T2DM in the future.

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